We are delighted to invite you to the online launch of the Research Handbook on Digital Data: Interdisciplinary Perspectives (Edward Elgar Publishing) on 1 April 2026. The book is co-edited by Aleksi Aaltonen with Marta Stelmaszak and Kalle Lyytinen. The event is open to all, but registration is required to
Katia Meggiorin explores how AI is rewriting the rules of competition by analyzing two rival companies in the same industry—one traditional, and one heavily AI-driven.
Aleksi Aaltonen explores what data are (or is), why their importance is going to grow, and what are the emerging trends and issues that organizations will need to tackle in the AI-driven economy.
Jordan Suchow looks at a key strategic decision that companies in the autonomous navigation space have all wrestled with: how to bootstrap a product when the data needed to train the system requires deploying it.
The rapid proliferation of generative artificial intelligence (GenAI) is significantly reshaping the labor market. While existing literature primarily focuses on GenAI’s isolated effects on either labor demand (e.g., task automation) or labor supply (e.g., skill development), research exploring the combined, interactive effects on firm-labor dynamics remains limited.
Balancing consumer protection with seller welfare is a central challenge in platform governance. This study examines returnless refunds—an innovation that reimburses buyers without requiring product returns—and analyzes a policy shift that delegated refund authority to highly rated sellers on a leading e-commerce platform. Using a difference-in-differences framework, we
Large language model (LLM)–based advisors increasingly interact directly with consumers, raising the question of whether they mitigate or exacerbate well-documented consumer choice biases. We study this question in the context of gym membership purchases, where consumers are known to systematically overestimate future usage. We address three research questions: (1)